2015 IEEE Sensors Applications Symposium (SAS)最新文献_第8页

Theoretical modeling of an electrostatic Gas-Path debris detection system with experimental validation 静电气路碎片检测系统的理论建模及实验验证

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133599

T. Addabbo, A. Fort, M. Mugnaini, S. Rocchi, V. Vignoli, R. Garbin

引用次数: 5

Pulse wave intensity and ECG: A multisensor approach for the risk assessment in systolic heart failure 脉搏波强度和心电图:一种多传感器方法评估收缩期心力衰竭的风险

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133564

B. Hametner, C. Mayer, M. Bachler, T. Weber, S. Parragh, S. Wassertheurer

{"title":"Pulse wave intensity and ECG: A multisensor approach for the risk assessment in systolic heart failure","authors":"B. Hametner, C. Mayer, M. Bachler, T. Weber, S. Parragh, S. Wassertheurer","doi":"10.1109/SAS.2015.7133564","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133564","url":null,"abstract":"Blood pressure measurements are associated with paradoxical effects in patients with systolic heart failure. Parameters, which have been associated with increased risk, lie within a normal range in patients with impaired systolic function. This implies that the noninvasive detection of reduced ejection fraction from blood pressure alone is difficult and additional biosignals are needed. A typical approach is the usage of arterial Doppler flow velocity measurements, which also facilitates more advanced techniques such as wave intensity analysis. In this method, distinct peaks in forward and backward traveling waves can be detected and quantified. However, aiming for simple noninvasive measurement techniques, blood flow models solely based on information from the pressure curve have been developed to replace ultrasound measurements. These models could be extended and controlled with features from the electrocardiogram (ECG), which have been related to impaired systolic function. This work presents wave intensity parameters as well as ECG intervals from a patient with normal (nEF) and a patient with severely reduced ejection fraction (rEF). The wave peak corresponding to the first forward compression wave is markedly reduced in the rEF patient. Moreover, ECG intervals are prolonged, especially when corrected for heart rate. These exemplary results strengthen the idea that it might be feasible to use a multisensor approach based on arterial pressure readings and electrocardiogram features to detect impaired systolic function and thus enhance cardiovascular risk stratification.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123024815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Position-dependent distribution of lung ventilation — A feasability study 肺通气位置相关分布的可行性研究

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133643

A. Waldmann, C. F. Ortola, M. Martinez, Anxela Vidal, Arnoldo Santos, Manuel Perez Marquez, Peter L. Roka, S. Böhm, F. Sipmann

引用次数: 2

Building distributed sensor network applications using BIP 使用BIP构建分布式传感器网络应用

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133617

A. Lekidis, P. Bourgos, S. Djoko, M. Bozga, S. Bensalem

{"title":"Building distributed sensor network applications using BIP","authors":"A. Lekidis, P. Bourgos, S. Djoko, M. Bozga, S. Bensalem","doi":"10.1109/SAS.2015.7133617","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133617","url":null,"abstract":"The exponential increase in the demands for the deployment of large-scale sensor networks, makes the efficient development of functional applications necessary. Nevertheless, the existence of scarce resources and the derived application complexity, impose significant constraints and requires high design expertise. Consequently, the probability of discovering design errors, once the application is implemented, is considerably high. To address these issues, there is a need for the availability of early-stage validation, performance evaluation and rapid prototyping techniques at design time. In this paper we present a novel approach for the co-design of mixed software/hardware applications for distributed sensor network systems. This approach uses BIP, a formal framework facilitating modeling, analysis and implementation of real-time embedded, heterogeneous systems. Our approach is illustrated through the modeling and deployment of a Wireless Multimedia Sensor Network (WMSN) application. We emphasize on its merits, notably validation of functional and non-functional requirements through statistical model-checking and automatic code generation for sensor network platforms.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132366823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Estimation of disturbance heat flux in buildings 建筑物扰动热流密度的估算

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133615

Antonio Starcic, Anita Martincevic, M. Vašak

引用次数: 0

Information fusion in weigh in motion systems 称重运动系统中的信息融合

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133637

R. Sroka, J. Gajda, P. Burnos, P. Piwowar

引用次数: 5

Comparison of different classifiers in movement recognition using WSN-based wrist-mounted sensors 基于wsn的腕式传感器运动识别中不同分类器的比较

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133646

Peter Sarcevic, Zoltán Kincses, Szilveszter Pletl

{"title":"Comparison of different classifiers in movement recognition using WSN-based wrist-mounted sensors","authors":"Peter Sarcevic, Zoltán Kincses, Szilveszter Pletl","doi":"10.1109/SAS.2015.7133646","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133646","url":null,"abstract":"The analysis of human movement is a widely studied field of health applications, such as telerehabilitation, analysis of daily activities, and emergency detection. In this paper, the comparison of different classifiers is presented for a new movement recognition system, which can be used for the detection of emergency situations. The system uses 9-degree-of-freedom (9DOF) sensor boards that are attached to wrist-mounted Wireless Sensor Network (WSN) motes. The 9DOF sensor boards are built up from a tri-axial accelerometer, a tri-axial gyroscope, and a tri-axial magnetometer. Measurement data for classification were collected from multiple subjects. Eleven movement classes were constructed in order to recognize specific arm movements in stationary positions and also during the movement of the body. Various time-domain features (TDF) were calculated in different processing window widths. Depending on the used window size, sensors and TDFs, 48 different data sets were constructed, which were used for training and for validating of the system. Different classifiers were tested and compared using the original and the dimensionally reduced data sets. The dimension reduction is performed using the Linear Discriminant Analysis (LDA) method. The tested classifiers were the minimum distance classifier, the MultiLayer Perceptron (MLP) network, the naive Bayes classifier and the Support Vector Machine (SVM).","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Low-power lessons from designing a wearable logger for long-term deployments 设计长期部署的可穿戴记录仪的低功耗经验

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133581

Eugen Berlin, Martin Zittel, Michael Braunlein, Kristof Van Laerhoven

引用次数: 6

A novel inclinometer exploiting magnetic fluids and an IR readout strategy 一种利用磁流体的新型测斜仪和红外读出策略

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133571

B. Andò, S. Baglio, A. Pistorio

引用次数: 6

Semi-analytical modeling of an eddy current imaging system for the characterization of defects in metallic structures 用于表征金属结构缺陷的涡流成像系统的半解析建模

2015 IEEE Sensors Applications Symposium (SAS) Pub Date : 2015-04-13 DOI: 10.1109/SAS.2015.7133630

T. Bore, D. Placko, P. Joubert

引用次数: 3